Resources and samples to fine-tune LLMs on a synthetic text2nosql dataset
This project demonstrates how to fine-tune language models to convert natural language queries into NoSQL queries for structured document search. It includes synthetic training data, a demo application using hotel booking data, and custom query operators to handle semantic and syntactic matching. The project is aimed at developers building intelligent search systems for web applications with nested document structures.
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